Pith Number

pith:CS5FL7DU

pith:2016:CS5FL7DUFCA266OKMYE3DXZDMZ

not attested not anchored not stored refs pending

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

Jian Wu, Peter I. Frazier

arxiv:1606.04414 v4 · 2016-06-14 · stat.ML · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{CS5FL7DUFCA266OKMYE3DXZDMZ}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Receipt and verification

First computed	2026-05-18T00:17:55.312534Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

14ba55fc742881af79ca6609b1df23667e6b62792b0f9b217d554f74d84436a8

Aliases

arxiv: 1606.04414 · arxiv_version: 1606.04414v4 · doi: 10.48550/arxiv.1606.04414 · pith_short_12: CS5FL7DUFCA2 · pith_short_16: CS5FL7DUFCA266OK · pith_short_8: CS5FL7DU

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CS5FL7DUFCA266OKMYE3DXZDMZ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 14ba55fc742881af79ca6609b1df23667e6b62792b0f9b217d554f74d84436a8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f4a40bac5e19d5bcee56566679ef9de2c84254be8983c4373940e2d07abbaa07",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-06-14T15:12:01Z",
    "title_canon_sha256": "cbf357a10245f3c4d371f44289238d88bdff41ab25a2b08e1f881a2c5162928d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1606.04414",
    "kind": "arxiv",
    "version": 4
  }
}